Advancing Water Quality Monitoring in eThekwini, South Africa: Integrating Water 4.0, Automation, and AI for Real-Time Surveillance

Global strategies for ensuring access to clean and safe drinking water are increasingly shifting toward a preventive approach based on risk assessment and risk management of the entire water supply and production chain. However, many developing countries, including South Africa, still lag in adopting advanced real-time water monitoring technologies aligned with Water 4.0 principles. To transition to these innovative technologies, it is essential to understand current gaps in water monitoring and the challenges to adopting these systems. This systemic review aims to assess current monitoring practices, identify implementation challenges, and explore strategic pathways for adopting smart water infrastructure in eThekwini Municipality, South Africa. This review identifies critical gaps in eThekwini’s water quality monitoring, including limited real-time surveillance, fragmented data systems, budgetary constraints, cybersecurity vulnerabilities, uneven rural–urban access, slow commercialization of academic innovations, policy misalignment, and insufficient technical capacity. It emphasizes the potential of real-time monitoring systems, automation, and artificial intelligence (AI) to address existing water quality monitoring challenges. Additionally, special focus is given to the role of electronic sensors in measuring physicochemical parameters like turbidity, pH, and dissolved oxygen as cost-effective indicators for detecting microbial contaminants. Implementing Water 4.0 strategies provides eThekwini and similar municipalities an opportunity to develop a more proactive, resilient, and sustainable approach to water quality management.